Henry Ogedegbe Jr.

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Henry Ogedegbe Jr.

Henry Ogedegbe Jr.

@_HooJR

RCS 🩸 https://t.co/FRx1NrSibL

NYC🗽 Katılım Nisan 2021
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Henry Ogedegbe Jr.
Part 2 of my OpenClaw setup series is about messaging channels without losing control. Telegram proved the clean-room loop. Slack became the work surface. BlueBubbles/iMessage showed why risky channels should fail closed. The core lesson: agent bots should be easy for you to reach, hard for others to trigger accidentally, and easy to disable when a channel behaves unexpectedly. Messaging makes agents feel alive, but it also creates real-world side effects.
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NIK
NIK@ns123abc·
SpaceXAI has 1T and 10T training rn on GB300s Grok 4 was just a small 500B model OpenAI and Anthropic got an early lead hoarding compute via institutional ties and shipped ~1+T models first. xAI built its own. But we're still in early game, mid game hasnt even started yet, and then there's late game. Compute is king. Just wait.
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Rektoff
Rektoff@rektoff_xyz·
Not long ago, the @rustlang team dropped their 2025 State of Rust survey, the 10th edition. 7,156 developers answered, and the trends paint a picture of a maturing language. We pulled the highlights for the security and Solana crowd🧵👇
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matthew sigel, recovering CFA
AI Trade Now Dwarfs Energy Trade Global AI equipment trade (3.8% of GDP) is nearly double the energy trade (2.1%). For 50%+ of the world economy, AI tailwinds may offset rising energy costs
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The Kobeissi Letter
The Kobeissi Letter@KobeissiLetter·
BREAKING: The S&P 500 rises to its highest level on record, now on track for its first 9-week win-streak since 2023.
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John
John@jrysana·
It's kind of crazy to think, if you consider that Anthropic spun out of OpenAI, that Elon Musk basically co-founded OpenAI AND Anthropic AND xAI. That's 3 of the 4 major labs, and he's the only person out of the 32 unique cofounders of these labs represented in more than one.
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David K 🎹
David K 🎹@DavidKPiano·
Agents work well with static types, schemas, state machines, etc. Keep deterministic what should be deterministic. Stop trying to make everything non-deterministic.
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Henry Ogedegbe Jr.
@InsiderPresider Thanks Vincent, exactly. If the channel can create real-world side effects, the default should be “off until proven safe,” not “on until something breaks.” Fail-closed makes the agent easier to trust and easier to operate
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Vincent
Vincent@InsiderPresider·
@_HooJR the fail closed approach for risky channels is smart design
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Henry Ogedegbe Jr.
Part 2 of my OpenClaw setup series is about messaging channels without losing control. Telegram proved the clean-room loop. Slack became the work surface. BlueBubbles/iMessage showed why risky channels should fail closed. The core lesson: agent bots should be easy for you to reach, hard for others to trigger accidentally, and easy to disable when a channel behaves unexpectedly. Messaging makes agents feel alive, but it also creates real-world side effects.
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signüll
signüll@signulll·
compute is the new oil.
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Daniel San
Daniel San@dani_avila7·
One of the most important changes to the MCP so far is coming... Here's what it's about 👇 It's not official yet, but it's expected soon since it's in the Spec published a few days ago Link: blog.modelcontextprotocol.io/posts/2026-07-… The spec has a lot of changes, but I'm going to focus on just one: the change from Handshake to Stateless What does this mean? If you've built MCPs, you know that every time you present your server to a client (Claude or ChatGPT), we have to do a handshake, which is basically an initial greeting where data is exchanged and the connection is established Here the server tells the client what MCP version and what components it has, and the client tells the server everything is ok because it knows that version and supports those components... otherwise, the connection fails But something important is that the server issues a session ID that persists throughout the entire client-server communication. And with this ID you can start exchanging tool information and sending requests With this new spec, that changes. Sessions no longer exist and everything is handled through headers Much more flexible, and it allows you to work with different instances instead of being tied to a single connection Keep an eye on what's coming! Many LLM capabilities will be combinable with this change in Model Context Protocol
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Mark Kretschmann
Mark Kretschmann@mark_k·
Google DeepMind just dropped one of the clearest signals yet for where math is going. The @GoogleDeepMind AlphaProof Nexus agent autonomously resolved 9 of 353 open Erdős problems, with the proofs checked in Lean. The reported inference cost: a few hundred dollars per problem. That is wild. Not because 9/353 means math is "solved". It clearly doesn’t. Most problems still resisted, and the full search cost is more complicated. But the direction is obvious: AI agents are moving from contest math into real research-level mathematics. And formal verification turns the output from "sounds plausible" into "actually compiles". generate, test, verify, repeat.
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MTS
MTS@MTSlive·
SITUATION DETECTED: Google DeepMind’s AI agent autonomously solved 9 of 353 open Erdos problems in mathematics, at a cost of a few hundred dollars per problem.
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OpenClaw🦞
OpenClaw🦞@openclaw·
OpenClaw 2026.5.22 is live ⚡ Gateway/model startup paths got leaner 🧠 /models drops to ~5ms 🔒 npm packages ship locked deps 🪟 Windows install/update paths hardened Less waiting, fewer surprises. github.com/openclaw/openc…
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Maor Shlomo
Maor Shlomo@MaorShlomo·
The two most common questions i get are “what’s the secret to success in the vibe coding era” and “if anyone can build now how can you have a moat” I enjoyed talking about it with @abracarioca from @RunInfiniteLoop and trying to give my 2 cents
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Henry Ogedegbe Jr.
Solana’s latest Colosseum ‘AI agents’ drop is peak crypto AI: low-talent LLM wrappers + token hype 😭
matthew 💭@yo_itsmatt

I went through 2,857 @colosseum submissions Here are 44 that stood out to me: @clawpumptech - Launches agents that trade, earn fees and fund compute @payainetwork - Lets merchants accept agent payments @jurassicfi - Opens fossil investing by tokenizing specimens with real ownership rights @cleopetrafun - Makes macro theses tradable through prediction backed indices @gibdotmeme - Turns memecoins into a trading card game with real rewards @cesto_co - Turns market ideas into one click baskets across RWAs, prediction markets and perps @jigglypuffking_ - Gives trading card collectors pricing, portfolio tools, data and faster listings @afkdotfun - Lets users build, test and copy automated Solana trading strategies @daemonterminal - Gives Solana devs a coding workspace with agents, wallet tools, swaps and onchain records @sp3nddotshop - Lets people and agents buy Amazon and eBay goods with stablecoins @hobba_io - Lets users borrow against crypto collateral while the collateral yield helps pay the loan down @arete_a4 - Gives AI agents focused Solana tools so they stop wasting context on docs and SDKs @funddotsol - Makes group expenses and USDC settlement on Solana easier to track @bento_guard - Checks AI agent actions before they touch funds so users can delegate safely @01resolved - Turns ownership coin activity into treasury, holder, vote and market intelligence @giogio_app - Helps digital workers get earned income in seconds instead of weeks @usebido - Helps brands appear as AI agents choose what to buy @ridemarkets - Lets crowds back trade calls before a treasury executes them @aigntfun - Launches Solana trading agents that learn from their trades @nomustores - Helps consumer brands manage supply chain operations after checkout @winnr_trade - Builds information markets with private order flow, gasless trading and fast resolution @m_schneider - Requires two device approval so one compromised wallet cannot drain funds @event_mesh - Lets agents react to real time events instead of polling sources nonstop @backyard_fi - Helps users earn yield across vaults while keeping capital liquid @versusonchain - Turns trading into live matches with rankings and rewards @incdotfun - Helps founders launch AI run businesses funded by their own token volume @ghostai_fi - Brings private local AI into a wallet for trades, transfers and DeFi @bladtrade - Combines social trading, tokenized stocks and bets @yieldbayfi - Helps Solana users find yield, watch risk and manage DeFi in one place @vderohe - Gives Solana agents shared identity and messaging across registries @dawnlabs00 - Runs managed Solana yield with Kamino leverage and delta neutral positioning @looftapay - Lets digital workers send and receive global payments by username, email, or X handle @basedbidx - Helps teams launch tokens with virtual liquidity, fees and protection @awesamarth_ - Gives Solana agents wallets, payments, policy controls, privacy and yield tools @stealf_finance - Builds a privacy focused stablecoin neobank with a full banking feel @bundiedefi - Lets people bet on how AI agents perform in real DeFi strategies @joeblau - Makes stablecoin trading feel like a fast real time tap game @ordrtrade - Gives market makers better protection so traders get tighter onchain prices @noelkimlcw - Gives teams a clearer view of asset holders @bananazoneapp - Makes Solana finance feel like a playful trading arcade @craftsdev - Helps startups raise through equity linked tokens with price discovery and treasury controls @nomadzxyz - Lets people and AI agents book travel with crypto and save on over 1M stays @cashflow_fi - Helps users earn yield on stablecoins and invest in tokenized gold and stocks @fraudsworth - Builds a gamified futarchy controlled wealth fund using flipping taxes and a closed token ecosystem

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